Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models.
about
Parsimonious higher-order hidden Markov models for improved array-CGH analysis with applications to Arabidopsis thaliana.An HMM-based algorithm for evaluating rates of receptor-ligand binding kinetics from thermal fluctuation data.Autoregressive higher-order hidden Markov models: exploiting local chromosomal dependencies in the analysis of tumor expression profiles.MeDIP-HMM: genome-wide identification of distinct DNA methylation states from high-density tiling arrays.Meiotic cohesin SMC1β provides prophase I centromeric cohesion and is required for multiple synapsis-associated functions.Uncovering networks from genome-wide association studies via circular genomic permutation.
P2860
Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models.
description
2011 nî lūn-bûn
@nan
2011 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Exploiting prior knowledge and ...... extended Hidden Markov Models.
@ast
Exploiting prior knowledge and ...... extended Hidden Markov Models.
@en
type
label
Exploiting prior knowledge and ...... extended Hidden Markov Models.
@ast
Exploiting prior knowledge and ...... extended Hidden Markov Models.
@en
prefLabel
Exploiting prior knowledge and ...... extended Hidden Markov Models.
@ast
Exploiting prior knowledge and ...... extended Hidden Markov Models.
@en
P2093
P356
P1433
P1476
Exploiting prior knowledge and ...... extended Hidden Markov Models.
@en
P2093
Ivo Grosse
Marc Strickert
Michael Seifert
P304
P356
10.1093/BIOINFORMATICS/BTR199
P407
P577
2011-04-21T00:00:00Z